A Novel Image Enhancement Algorithm for a Small Target Detection of Panoramic Infrared Imagery

Ju-Young KIM
Ki-Hong KIM
Hee-Chul HWANG
Duk-Gyoo KIM

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E88-A    No.6    pp.1520-1524
Publication Date: 2005/06/01
Online ISSN: 
DOI: 10.1093/ietfec/e88-a.6.1520
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Papers Selected from 2004 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2004))
panoramic infrared imagery,  small target detection,  statistical hypothesis testing,  histogram equalization,  

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A novel image enhancement algorithm that can efficiently detect a small target of panoramic infrared (IR) imagery is proposed. Image enhancement is the first step for detecting and recognizing a small target in the IR imagery. The essence of the proposed algorithm is to utilize the independent histogram equalization (HE) separately over two sub-images obtained by decomposing the given image through the statistical hypothesis testing (SHT). Experimental results show that the proposed algorithm has better discrimination and lower false alarm rate than the conventional algorithms.